Multi-parameter combined online monitoring system and method for running state of dry-type air-core reactor

Through the ultra-high frequency sensing module and the fiber grating vibration sensing module combined with the signal analysis and processing module, the multi-parameter joint online monitoring of the dry hollow reactor is realized, solving the problems of low monitoring sensitivity and weak anti-interference ability in the prior art , achieving high sensitivity and real-time fault diagnosis.

CN119224500APending Publication Date: 2024-12-31STATE GRID ECONOMIC TECH RES INST CO LTD +2
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Patent Information

Application Number
CN202411445316.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-16
Publication Date
2024-12-31

AI Technical Summary

Technical Problem

The existing dry hollow reactor online monitoring methods have low sensitivity, poor real-time performance, and weak anti-interference ability. They cannot effectively monitor and diagnose interturn discharge faults of reactors, affecting the normal operation of the power system.

Method used

UHF sensing module and fiber grating vibration sensing module are adopted, combined with signal analysis and processing module, real-time detection and feature parameter extraction of dry hollow reactor interturn discharge and mechanical vibration signals are realized, and the reactance is judged through the host. The operating status of the device.

Benefits of technology

It realizes high sensitivity monitoring and real-time fault diagnosis of dry hollow reactors, has strong anti-electromagnetic interference capabilities, can effectively monitor sudden discharge faults and judge different fault types.

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Abstract

The invention belongs to the technical field of power system monitoring, and particularly relates to a multi-parameter combined online monitoring system and method for the running state of a dry-type air-core reactor. The system comprises an ultrahigh frequency sensing module, a fiber bragg grating vibration sensing module and a signal analyzing and processing module, the signal analyzing and processing module comprises an ultrahigh frequency signal digital acquisition card, a fiber grating mechanical vibration signal digital acquisition card and a host; the ultrahigh frequency sensing module and the fiber grating vibration sensing module are respectively connected with the signal analyzing and processing module through circuits. The method comprises the following steps: acquiring turn-to-turn discharge and mechanical vibration signals of the dry-type air-core reactor; the turn-to-turn discharge comprises turn-to-turn short circuit and overvoltage fault; extracting characteristic parameters of turn-to-turn discharge and mechanical vibration signals; and based on the characteristic parameters, diagnosing the operation state of the dry-type air-core reactor. The defects of low sensitivity, poor real-time performance, weak anti-interference capability and the like of an online monitoring method for the dry-type air-core reactor in the prior art are overcome.
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Description

Technical Field

[0001] The invention belongs to the technical field of power system monitoring, and in particular relates to a multi-parameter joint online monitoring system and method for the operating state of a dry-type air-core reactor. Background Art

[0002] With the continuous and rapid development of my country's power system, the safe and stable operation of related power equipment is facing greater and greater challenges. Improving the stability and safety of the power system is of great significance to ensuring the quality of life of the people and the steady and rapid development of the economy. In addition to improving the system voltage distribution, reducing line losses, improving the effective utilization rate of the installed capacity of power transmission and transformation equipment, and improving the quality of power, dry-type air-core reactors are also used in the power supply system to limit current, prevent overvoltage, maintain the balance of reactive power in the power system, etc. They are key electrical equipment in high-voltage power transmission and transformation. Therefore, the power system has an increasing demand for reactors, involving all aspects of power generation, transmission, transformation and distribution. At present, due to the advantages of simple insulation structure, strong short-circuit resistance, excellent linear characteristics, light weight, low noise, no oil leakage, simple operation and maintenance, dry-type air-core reactors are widely used in substations and converter stations of power grids at all levels, including ultra-high voltage.

[0003] With the widespread use of dry-type air-core reactors in power grids, a series of problems have also emerged in their operation, bringing new unsafe factors to the power system. Affected by operating characteristics and environmental factors, dry-type air-core reactors may be affected by overload, hot and cold shock, rain, overvoltage and other factors after a long period of operation. Operation defects or faults caused by coil dampness, local discharge arc, local overheating, insulation burnout, etc. may occur, which are mainly manifested as inter-turn short circuit and burnout. If the operating status of the dry-type air-core reactor is not monitored in real time and the fault is not handled in time, it will seriously affect the normal operation of the transmission line.

[0004] The existing defect monitoring technology has not been widely used due to its insufficient performance. At present, online detection devices are generally not installed on dry-type air-core reactors. There is no effective means for online warning of dry-type air-core reactor failures. The main detection methods proposed for the defects of the reactor itself are: appearance inspection, online monitoring, offline detection, etc. However, the existing monitoring methods have problems such as long monitoring cycle, low accuracy and sensitivity, and performance constraints of the sensor system, which cannot achieve effective real-time monitoring and diagnosis.

[0005] Therefore, there is an urgent need for a multi-parameter joint online monitoring system and method for the operating status of a dry-type air-core reactor, which can solve the shortcomings of the online monitoring method of the dry-type air-core reactor in the prior art, such as low sensitivity, poor real-time performance, and weak anti-interference ability, and realize the monitoring of the inter-turn discharge of the dry-type air-core reactor, and realize a multi-parameter joint online monitoring method and monitoring system for the operating status of the dry-type air-core reactor with high monitoring sensitivity. Summary of the invention

[0006] The purpose of the present invention is to provide a multi-parameter joint online monitoring system for the operating status of a dry-type air-core reactor, characterized in that it comprises: a UHF sensing module, a fiber grating vibration sensing module and a signal analysis and processing module;

[0007] The signal analysis and processing module includes: a UHF signal digital acquisition card, a fiber grating mechanical vibration signal digital acquisition card and a host;

[0008] The ultra-high frequency sensing module and the fiber grating vibration sensing module are connected to the signal analysis and processing module through circuits respectively.

[0009] The UHF sensing module and the fiber grating vibration sensing module are connected to the signal analysis and processing module through circuits respectively:

[0010] The UHF sensor module is connected to the host through a UHF signal digital acquisition card to achieve UHF signal transmission;

[0011] The fiber grating vibration sensing module transmits the mechanical vibration signal to the host through the fiber grating mechanical vibration signal digital acquisition card, thereby realizing the transmission of the vibration signal generated by the inter-turn discharge.

[0012] The UHF sensor module is arranged on the side of the dry-type air-core reactor to detect the electromagnetic wave signal radiated by the inter-turn discharge of the dry-type air-core reactor; the inter-turn discharge includes: inter-turn short circuit and overvoltage fault.

[0013] The fiber grating vibration sensing module is arranged on the surface of the dry air-core reactor to obtain the vibration signal generated by inter-turn discharge.

[0014] The host is used to extract and compare characteristic parameters of the UHF signal and the grating optical fiber signal, and diagnose the operating status of the dry-type air-core reactor according to the difference of the characteristic parameters.

[0015] Another object of the present invention is to provide an online monitoring method of the multi-parameter joint online monitoring system for the operating status of a dry-type air-core reactor according to the present invention, characterized in that it comprises the following steps:

[0016] Step S1: Acquire inter-turn discharge and mechanical vibration signals of a dry-type air-core reactor; the inter-turn discharge includes: inter-turn short circuit and overvoltage fault;

[0017] Step S2: extracting characteristic parameters of inter-turn discharge and mechanical vibration signals;

[0018] Step S3: diagnose the operating status of the dry-type air-core reactor based on the characteristic parameters.

[0019] The step S1 of obtaining the inter-turn discharge and mechanical vibration signals of the dry-type air-core reactor includes:

[0020] An ultra-high frequency sensing module and a fiber grating vibration sensing module are arranged on the side of the dry-type air-core reactor to obtain the inter-turn discharge and mechanical vibration signals of the dry-type air-core reactor and transmit them to the signal analysis and processing module.

[0021] The characteristic parameters of the inter-turn discharge and mechanical vibration signals extracted in step S2 include:

[0022] The signal analysis and processing module extracts characteristic parameters of the inter-turn discharge and mechanical vibration signals, and compares the measured signals with the ultra-high frequency signals and vibration signals of the normal operation of the dry-type air-core reactor.

[0023] The diagnosis of the operating status of the dry-type air-core reactor in step S3 includes:

[0024] If the difference between the characteristic parameters of the measured signal and those during normal operation is lower than the set threshold, it can be determined that the dry-type air-core reactor is operating normally; if the difference between the characteristic parameters of the measured signal and those during normal operation is higher than the set threshold, it can be determined that a fault has occurred in the dry-type air-core reactor, and different fault types can be determined based on the size and change rules of characteristic parameters such as skewness, asymmetry, warpage and mutual correlation coefficient, mean and standard deviation of discharge amplitude, mean and standard deviation of discharge time interval, etc.

[0025] The beneficial effects of the present invention are:

[0026] 1. Since the UHF sensor module 1 has a strong real-time detection of the discharge signal and timely communicates with the signal analysis and processing module 3 through the signal transmission line to diagnose the fault, the multi-parameter joint online monitoring system and method for the operating state of the dry-type air-core reactor disclosed in the present invention can realize the real-time detection of the inter-turn discharge of the dry-type air-core reactor and effectively monitor the sudden discharge fault;

[0027] Second, since the fiber Bragg grating sensing module has higher sensitivity than the traditional measurement method, and the optical signal in the fiber Bragg grating sensor is not affected by the external electromagnetic field when propagating in the optical fiber, the fiber Bragg grating sensor has a strong ability to resist electromagnetic interference. The multi-parameter joint online monitoring system and method for the operating status of the dry-type air-core reactor disclosed in the present invention can realize the high-sensitivity measurement of the real-time dry-type air-core reactor, and has a strong ability to resist electromagnetic interference;

[0028] 3. Since the characteristic parameters of the measured signal are extracted by the signal analysis and processing module 3, the multi-parameter joint monitoring of the operating state of the dry-type air-core reactor is performed according to the characteristic parameter values ​​and the change rules. Therefore, the multi-parameter joint online monitoring system and method for the operating state of the dry-type air-core reactor disclosed in the present invention can realize the multi-parameter joint monitoring of the operating state of the dry-type air-core reactor. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 It is a structural schematic diagram of a multi-parameter joint online monitoring system for the operating status of a dry-type air-core reactor according to the present invention;

[0030] Figure 2 A schematic flow chart of a multi-parameter joint online monitoring method for the operating status of a dry-type air-core reactor according to an embodiment of the present invention;

[0031] In the figure, 1-UHF sensing module; 2-Fiber Bragg grating vibration sensing module; 3-Signal analysis and processing module; 4-Dry-type air-core reactor; 31-UHF signal digital acquisition card; 32-Fiber Bragg grating mechanical vibration signal digital acquisition card; 33-Host. DETAILED DESCRIPTION

[0032] The present invention provides a multi-parameter combined online monitoring system and method for the operating status of a dry-type air-core reactor. The present invention is further described in detail below in conjunction with the accompanying drawings.

[0033] like Figure 1 The embodiment of the present invention shown discloses a multi-parameter joint online monitoring system for the operation status of a dry-type air-core reactor, comprising: a UHF sensor module 1, a fiber Bragg grating vibration sensor module 2, and a signal analysis and processing module 3;

[0034] The signal analysis and processing module 3 includes: a UHF signal digital acquisition card 31, a fiber Bragg grating mechanical vibration signal digital acquisition card 32 and a host 33;

[0035] The UHF sensing module 1 and the FBG vibration sensing module 2 are connected to the signal analysis and processing module 3 through circuits respectively.

[0036] In this embodiment, an online monitoring system and method for monitoring the inter-turn insulation characteristics of a dry-type air-core reactor and diagnosing the operating status of the dry-type air-core reactor is provided, including obtaining inter-turn discharge and electrical signals, extracting characteristic parameters of inter-turn discharge and electrical signals, and performing status diagnosis on the dry-type air-core reactor. The embodiment of the present invention can detect the inter-turn discharge of the dry-type air-core reactor in real time, and has high sensitivity and anti-electromagnetic interference capability for the measurement of the dry-type air-core reactor, and monitors the insulation characteristics of the dry-type air-core reactor through multi-parameter joint monitoring. Based on the above performance, the method realizes online monitoring of the operating status of the dry-type air-core reactor.

[0037] The UHF sensing module 1 and the fiber Bragg grating vibration sensing module 2 are respectively connected to the signal analysis and processing module 3 through circuits as follows:

[0038] The UHF sensor module 1 is connected to the host 33 via the UHF signal digital acquisition card 31 to achieve the transmission of UHF signals;

[0039] The fiber Bragg grating vibration sensing module 2 transmits the vibration signal to the host 33 through the fiber Bragg grating mechanical vibration signal digital acquisition card 32, thereby realizing the transmission of the vibration signal generated by the inter-turn discharge.

[0040] The UHF sensor module 1 is arranged on the side of the dry-type air-core reactor to detect the electromagnetic wave signal radiated by the inter-turn discharge of the dry-type air-core reactor; the inter-turn discharge includes: inter-turn short circuit and overvoltage fault.

[0041] In this embodiment, the UHF sensing module 1 is used to measure the electromagnetic wave signal radiated by the inter-turn discharge of the dry-type air-core reactor, where the inter-turn discharge includes turn-to-turn short-circuit overcurrent and overvoltage faults, and has the function of monitoring the inter-turn insulation characteristics of the dry-type air-core reactor; the UHF sensing module 1 is arranged on the side of the dry-type air-core reactor to detect the electromagnetic wave signal radiated by the inter-turn discharge of the dry-type air-core reactor, where the inter-turn discharge includes turn-to-turn short-circuit and overvoltage faults. The UHF sensing module 1 is connected to the signal analysis and processing module 3 through a signal transmission circuit to realize the transmission of UHF signals.

[0042] The fiber grating vibration sensing module 2 is arranged on the surface of the dry air-core reactor to obtain the vibration signal generated by inter-turn discharge.

[0043] In this embodiment, the fiber grating vibration sensing module 2 is used to measure the mechanical vibration signal generated by the vibration of the coil caused by the inter-turn discharge of the dry-type air-core reactor, which serves to distinguish the type of electrical insulation fault of the dry-type air-core reactor; the fiber grating vibration sensing module 2 is arranged on the surface of the dry-type air-core reactor to obtain the vibration signal generated by the inter-turn discharge, and transmit it to the signal analysis and processing module 3 through the circuit.

[0044] The host 33 is used to extract and compare characteristic parameters of the UHF signal and the grating optical fiber signal, and diagnose the operating status of the dry-type air-core reactor according to the difference of the characteristic parameters.

[0045] The specific process of extracting and comparing the characteristic parameters of the UHF signal and the grating fiber signal and diagnosing the operating state of the dry-type air-core reactor according to the difference of the characteristic parameters includes:

[0046] The host 33 first converts the ultra-high frequency signal and grating fiber signal transmitted by the sensor module from a time domain signal into a frequency domain discharge spectrum through continuous wavelet transform, and the spectrum is recorded in tif format on the built-in PortSUB software to form a tif image; then the tif image data is converted into an RGB three-channel numerical matrix using Matlab, and the skewness, asymmetry, warping, mutual correlation coefficient, mean and standard deviation of the discharge amplitude, mean and standard deviation of the discharge time interval and other characteristic parameters of the discharge spectrum are read and compared through phase analysis mode processing, and finally the operating status of the dry-type air-core reactor is diagnosed according to the difference in characteristic parameters.

[0047] In this embodiment, the signal analysis and processing module 3 includes: a UHF signal digital acquisition card 31, a fiber Bragg grating mechanical vibration signal digital acquisition card 32 and a host 33, which are used to collect the measured signals and extract and analyze the characteristic parameters. The digital acquisition card is used to collect the signals measured by the UHF sensing module 1 and the fiber Bragg grating vibration sensing module 2 and send them to the host 33. The host 33 has the function of extracting and comparing the characteristic parameters of the UHF signal and the grating fiber signal, so as to diagnose the operating status of the dry-type air-core reactor according to the difference in the characteristic parameters.

[0048] The method of the present invention mainly includes obtaining the inter-turn discharge and mechanical vibration signals of the dry-type air-core reactor, extracting the characteristic parameters of the inter-turn discharge and mechanical vibration signals, and diagnosing the operating status of the dry-type air-core reactor. By analyzing the differences in inter-turn discharge and mechanical vibration of the dry-type air-core reactor in normal and fault states, the multi-parameter joint online monitoring of the operating status of the dry-type air-core reactor can be realized.

[0049] like Figure 2 As shown, another embodiment of the present invention discloses an online monitoring method of the multi-parameter joint online monitoring system for the operating status of a dry-type air-core reactor according to the present invention, comprising the following steps:

[0050] Step S1: Acquire inter-turn discharge and mechanical vibration signals of a dry-type air-core reactor; the inter-turn discharge includes: inter-turn short circuit and overvoltage fault;

[0051] Step S2: extracting characteristic parameters of inter-turn discharge and mechanical vibration signals;

[0052] Step S3: diagnose the operating status of the dry-type air-core reactor based on the characteristic parameters.

[0053] In this embodiment, the online monitoring method includes obtaining inter-turn discharge and mechanical vibration signals of the dry-type air-core reactor, extracting characteristic parameters of the inter-turn discharge and mechanical vibration signals, and diagnosing the operating status of the dry-type air-core reactor.

[0054] The step S1 of obtaining the inter-turn discharge and mechanical vibration signals of the dry-type air-core reactor includes:

[0055] A UHF sensor module 1 and a fiber grating vibration sensor module 2 are arranged on the side of the dry-type air-core reactor to obtain the inter-turn discharge and mechanical vibration signals of the dry-type air-core reactor and transmit them to the signal analysis and processing module 3.

[0056] The characteristic parameters of the inter-turn discharge and mechanical vibration signals extracted in step S2 include:

[0057] The signal analysis and processing module 3 extracts characteristic parameters of the inter-turn discharge and mechanical vibration signals, and compares the measured signals with the ultra-high frequency signals and vibration signals of the normal operation of the dry-type air-core reactor.

[0058] The diagnosis of the operating status of the dry-type air-core reactor in step S3 includes:

[0059] If the difference between the characteristic parameters of the measured signal and those during normal operation is lower than the set threshold, it can be determined that the dry-type air-core reactor is operating normally; if the difference between the characteristic parameters of the measured signal and those during normal operation is higher than the set threshold, it can be determined that a fault has occurred in the dry-type air-core reactor, and different fault types can be determined based on the size and change rules of characteristic parameters such as skewness, asymmetry, warpage and mutual correlation coefficient, mean and standard deviation of discharge amplitude, mean and standard deviation of discharge time interval, etc.

[0060] In summary, the overall performance of the multi-parameter joint online monitoring system and method for the operating status of a dry-type air-core reactor disclosed in the present invention meets the following conditions:

[0061] 1. Effective monitoring of sudden discharge faults between turns of dry-type air-core reactors can be detected in real time;

[0062] 2. It can realize high-sensitivity monitoring of the electrical characteristics of dry-type air-core reactors;

[0063] 3. It can realize online monitoring of the operating status of dry-type air-core reactors with multiple parameters of insulation characteristics and electrical characteristics.

Claims

1. A multi-parameter joint online monitoring system for the operating status of dry-type air-core reactors. It is characterized in that It comprises: a UHF sensing module (1), a fiber grating vibration sensing module (2) and a signal analysis and processing module (3); The signal analysis and processing module (3) comprises: a UHF signal digital acquisition card (31), a fiber grating mechanical vibration signal digital acquisition card (32) and a host (33); The ultra-high frequency sensing module (1) and the optical fiber grating vibration sensing module (2) are respectively connected to the signal analysis and processing module (3) via circuits.

2. The multi-parameter combined online monitoring system for the operation status of dry-type air-core reactor according to claim 1 is characterized in that: The ultra-high frequency sensing module (1) and the fiber grating vibration sensing module (2) are respectively connected to the signal analysis and processing module (3) via a circuit as follows: The UHF sensor module (1) is connected to the host (33) via the UHF signal digital acquisition card (31) to achieve transmission of the UHF signal; The fiber grating vibration sensing module (2) transmits the signal to the host (33) via the fiber grating mechanical vibration signal digital acquisition card (32), thereby realizing the transmission of the vibration signal generated by the inter-turn discharge.

3. The multi-parameter combined online monitoring system for the operation status of dry-type air-core reactor according to claim 1 is characterized in that: The ultra-high frequency sensor module (1) is arranged on the side of the dry-type air-core reactor to detect electromagnetic wave signals radiated by inter-turn discharge of the dry-type air-core reactor; the inter-turn discharge includes: inter-turn short circuit and overvoltage fault.

4. The multi-parameter combined online monitoring system for the operating status of a dry-type air-core reactor according to claim 1 is characterized in that: The optical fiber grating vibration sensing module (2) is arranged on the surface of the dry air-core reactor and is used to obtain vibration signals generated by inter-turn discharge.

5. The multi-parameter combined online monitoring system for the operating status of dry-type air-core reactor according to claim 1 is characterized in that: The host (33) is used to extract and compare characteristic parameters of the ultra-high frequency signal and the grating optical fiber signal, and diagnose the operating state of the dry-type air-core reactor according to the difference in the characteristic parameters.

6. An online monitoring method of a multi-parameter joint online monitoring system for operating status of a dry-type air-core reactor according to any one of claims 1 to 5, characterized in that: The steps include: Step S1: Acquire inter-turn discharge and mechanical vibration signals of a dry-type air-core reactor; the inter-turn discharge includes: inter-turn short circuit and overvoltage fault; Step S2: extracting characteristic parameters of inter-turn discharge and mechanical vibration signals; Step S3: diagnose the operating status of the dry-type air-core reactor based on the characteristic parameters.

7. The online monitoring method according to claim 6, characterized in that: The step S1 of obtaining the inter-turn discharge and mechanical vibration signals of the dry-type air-core reactor includes: An ultra-high frequency sensing module (1) and an optical fiber grating vibration sensing module (2) are arranged on the side of the dry-type air-core reactor to obtain inter-turn discharge and mechanical vibration signals of the dry-type air-core reactor and transmit them to a signal analysis and processing module (3).

8. The online monitoring method according to claim 6, characterized in that: The characteristic parameters of the inter-turn discharge and mechanical vibration signals extracted in step S2 include: The signal analysis and processing module (3) extracts characteristic parameters of the inter-turn discharge and mechanical vibration signals, and compares the measured signals with the ultra-high frequency signals and vibration signals of the normal operation of the dry-type air-core reactor.

9. The online monitoring method according to claim 6, characterized in that: The diagnosis of the operating status of the dry-type air-core reactor in step S3 includes: If the difference between the characteristic parameters of the measured signal and those during normal operation is lower than the set threshold, it can be determined that the dry-type air-core reactor is operating normally; if the difference between the characteristic parameters of the measured signal and those during normal operation is higher than the set threshold, it can be determined that a fault has occurred in the dry-type air-core reactor, and different fault types can be determined based on the size and change rules of characteristic parameters such as skewness, asymmetry, warpage and mutual correlation coefficient, mean and standard deviation of discharge amplitude, mean and standard deviation of discharge time interval, etc.